The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:18:24] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:18:39] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:18:50] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:18:59] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:19:08] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
This graph can not be plotted because fewer than two functional categories were enriched
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:19:13] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
The ORA method takes a group of significant genes and performs a Fisher’s exact test for each term of the selected functional category.
Barplot
The most highly signficant categories in ascending order, according to adjusted p-value. The x-axis represents the number of significant genes found within the functional category.
Dotplot
The most highly signficant categories in descending in categories of gene ratio, defined as the proportion of significant genes that are found in the functional category. The x-axis represents the gene ratio and the dot size the number of genes associated with the functional category.
Gene-Concept Network
The network connects the top functional categories (brown nodes) to their associated genes (grey or colored nodes). The size of the functional category nodes shows the number of connected genes.
Enrich Map plot
The top functional categories (nodes), connected if they share genes. Edge thickness represents the number of shared genes. Nodes size represents the number of significant genes within the category.
This graph can not be plotted because fewer than two functional categories were enriched
Heatplot
Significant genes (x-axis) and the functional categories in which they appear.WARN [2022-11-29 11:19:17] ningun argumento finito para max; retornando -Inf
Upsetplot
Genes are clustered according to shared enriched categories. The y-axis shows the number of genes belonging to the different clusters (top) and categories to which they belong (bottom).
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?